Parthasarathi Panda

520 citations
28 papers · 368 · h-index 11

Impact in

Papers in

Parthasarathi Panda

27 papers receiving 346 citations

Peers

Parthasarathi Panda
Comparison fields: 5 of 71
  • Biochemistry 34
  • Complementary and alternative medicine 46
  • Molecular Medicine 26
  • Organic Chemistry 98
  • Computational Theory and Mathematics 46
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Citations per field
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Citations per year

Countries citing papers authored by Parthasarathi Panda

Since Specialization
Citations

This map shows the geographic impact of Parthasarathi Panda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Parthasarathi Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parthasarathi Panda more than expected).

Fields of papers citing papers by Parthasarathi Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Parthasarathi Panda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Parthasarathi Panda. The network helps show where Parthasarathi Panda may publish in the future.

Co-authors

The 25 scholars most cited alongside Parthasarathi Panda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Parthasarathi Panda Line = papers co-authored together Parthasarathi Panda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201953
2 201152
3 201650
4 202039
5 201224
6 201223
7 201915
8 200613
9 201610
10 200810
11 201710
12 20219
13 20239
14 20228
15 20108
16 20216
17 20234
18 20174
19
QSAR for analogs of 1,5-N,N'-disubstituted-2-(substituted benzenesulphonyl) glutamamides as antitumor agents
20074
20 20253

About Parthasarathi Panda

Parthasarathi Panda is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism and Biomaterials, having authored 28 papers that have together received 368 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Natural Antidiabetic Agents Studies (5 papers), Natural product bioactivities and synthesis (3 papers), Enzyme Production and Characterization (3 papers), Carbohydrate Chemistry and Synthesis (2 papers), Magnesium in Health and Disease (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Biochemistry (34 citations), Complementary and alternative medicine (46 citations), Molecular Medicine (26 citations), Organic Chemistry (98 citations) and Computational Theory and Mathematics (46 citations). Parthasarathi Panda has collaborated with scholars based in India, Singapore and Portugal. Frequent co-authors include Zaher M. A. Judeh, Mahendra Kumar Trivedi, Snehasis Jana, Kalyan Kumar Sethi, Shovanlal Gayen, Sravani Pulya, Balaram Ghosh, Kalyan Sundar Ghosh, Subbu S. Venkatraman and Mayank Gangwar. Their work appears in journals such as European Journal of Medicinal Chemistry, Current Medicinal Chemistry, Molecules, Journal of Pharmaceutical Analysis and Canadian Journal of Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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